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From |
Tim Evans <[email protected]> |

To |
"[email protected]" <[email protected]> |

Subject |
RE: st: reshape query |

Date |
Mon, 6 Jan 2014 10:04:17 +0000 |

```
Hi Richard, Cam,
Thanks for your responses. I do still want to manipulate the data within Stata, so I still need to do some work with -reshape-.
Richard, I've followed your code and this did the trick - many thanks for your help.
Best wishes
Tim
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Richard Herron
Sent: 03 January 2014 20:21
To: [email protected]
Subject: Re: st: reshape query
You can do the -reshape- in one pass. Also, the -id- variable isn't necessary in this case and I think I would help the Yes/No variable as a string so you get more meaningful variable names (I think if you used -encode- then the 1 is N and 2 is Y, but I would mess that up).
Does the following help?
* * * * *
clear
* some data
input age str1 invsurg2_string id age_
17 Y 1 1
18 Y 1 1
19 Y 1 2
20 Y 1 2
21 Y 1 1
22 Y 1 3
23 Y 1 3
24 Y 1 9
25 Y 1 12
26 Y 1 19
27 Y 1 26
28 Y 1 32
29 Y 1 41
30 Y 1 65
31 Y 1 86
32 Y 1 75
17 N 2 1
18 N 2 1
19 N 2 2
20 N 2 2
21 N 2 1
22 N 2 3
23 N 2 3
24 N 2 9
25 N 2 12
26 N 2 19
27 N 2 26
28 N 2 32
29 N 2 41
30 N 2 65
31 N 2 86
32 N 2 75
end
encode invsurg2_string, generate(invsurg2) replace age_ = age_ + 1 if (invsurg2_string == "N") drop invsurg2_string list
* reshape
* no need for -id-, -reshape wide- can use -age- directly drop id
* I would use -invsurg2- as string to get clearer varnames decode invsurg2, generate(YN) drop invsurg2
* now reshape to wide with -, string-
reshape wide age_, i(age) j(YN) string
renpfix age_ // -renpfix- from SSC
order age Y N
list
. list
+---------------+
| age Y N |
|---------------|
1. | 17 1 2 |
2. | 18 1 2 |
3. | 19 2 3 |
4. | 20 2 3 |
5. | 21 1 2 |
|---------------|
6. | 22 3 4 |
7. | 23 3 4 |
8. | 24 9 10 |
9. | 25 12 13 |
10. | 26 19 20 |
|---------------|
11. | 27 26 27 |
12. | 28 32 33 |
13. | 29 41 42 |
14. | 30 65 66 |
15. | 31 86 87 |
|---------------|
16. | 32 75 76 |
+---------------+
On Fri, Jan 3, 2014 at 12:01 PM, Tim Evans <[email protected]> wrote:
> Hi all,
>
>
> I'm using Stata 11.2 and trying to reshape a dataset to an output that I would like.
>
> I am trying to get my data in the format (note that invsurg2 is
> spurious at the moment and will be dropped when I get to this point)
>
> age y n
> 17 1 0
> 18 1 0
> 19 2 0
> 20 2 0
> 21 1 0
> 22 3 0
> 23 3 1
> 24 9 0
> 25 12 5
> ~~
> ~~
> 94 22 108
> 95 9 87
> 96 12 65
> 97 2 44
> 98 4 16
> 99 1 11
>
> y and n relate to invsurg2 which is shown below
>
> My initial data look like this:
>
> age invsurg2 id age_
> 17 Y 1 1
> 18 Y 1 1
> 19 Y 1 2
> 20 Y 1 2
> 21 Y 1 1
> 22 Y 1 3
> 23 Y 1 3
> 24 Y 1 9
> 25 Y 1 12
> 26 Y 1 19
> 27 Y 1 26
> 28 Y 1 32
> 29 Y 1 41
> 30 Y 1 65
> 31 Y 1 86
> 32 Y 1 75
>
> Where invsurg2 is a Y/N variable (numeric behind a label), id has been generated using:
> bysort age: g id=_n
> and age_ currently relates to a count, but for reasons of reshaping,
> found it helpful to call the variable age_
>
> This run of data runs to age 99, and then is repeated, but for
> invsurg2==N
>
> I reshape the data using the following:
>
> reshape wide age_, i(id inv) j(age)
>
> Which returns the following:
>
> id invsurg2 age_17 age_18 age_19 age_20 age_21 age_22 age_23 age_24 age_25 age_94 age_95 age_96 age_97 age_98 age_99
> 1 Y 1 1 2 2 1 3 3 9 12 22 9 12 2 4 1
> 2 N 0 0 0 0 0 0 1 0 5 108 87 65 44 16 11
>
> What I have been struggling with is how to complete my final reshape to provide this desired output:
>
> age y n
> 17 1 0
> 18 1 0
> 19 2 0
> 20 2 0
>
> As indicated earlier, invsurg2
>
> I would appreciate any help here.
>
> Best wishes
>
> Tim
>
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```

**References**:**st: reshape query***From:*Tim Evans <[email protected]>

**Re: st: reshape query***From:*Richard Herron <[email protected]>

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